The following is an abstract for the selected article. A PDF download of the full text of this article is available here. Members may download full texts at no charge. Non-members may be charged a small fee for certain articles.
Use of 13C Nuclear Magnetic Resonance Spectroscopy and Principal Component Analysis for Automated Analysis of Styrene/Butadiene Copolymers
Volume 51, Number 6 (June 1997) Page 889-897
Walsh, Neil G.; Hardy, James K.; Rinaldi, Peter L.
Principal component analysis (PCA) is used here to determine percent composition of the four monomer units styrene, 1,2-butadiene (vinyl), trans -1,4-butadiene ( trans ), and cis -1,4-butadiene ( cis ) in styrene/butadiene rubber (SBR) copolymers and the three monomer units (vinyl, trans, and cis ) in butadiene rubber (BR) polymers. Comparison of PCA with current methods is described. Cluster analysis is used to classify the SBR and BR into groups.